4 citations · 8 across the 16 of their papers we have counts for
9 papers · 1 filter
Robust Aggregation of Calibrated Forecasts
Xinxiang Guo, Yingkai Li, Yifen Mu
Decision-makers often rely on multiple probabilistic forecasts that are individually calibrated but need not be fully informative. We develop a framework for aggregating such forec…
Going Public: Communication in Collective Decisions
Zhicheng Du, Yingkai Li, Boli Xu
A principal and agents can launch a project if the principal proposes it and at least agents accept. Their individual payoffs from the project depend on an ex ante unk…
Allocating Resources under Strategic Misrepresentation
Yingkai Li, Xiaoyun Qiu
We study how to allocate resources to participants who can strategically misrepresent their deservingness at a cost. A principal assigns item(s) (or money) among multiple agents on…
Screening for Choice Sets
Tan Gan, Yingkai Li
We study a screening problem in which an agent privately knows which actions or technologies are feasible and can disclose only a subset to a principal. Once disclosed, feasible op…
Learning and Communication Towards Unanimous Consent
Yingkai Li, Boli Xu
A principal and an agent can launch a project under unanimous consent. Their individual payoffs from the project depend on an underlying state, and the agent privately knows his ow…
Incentivizing Forecasters to Learn: Summarized vs. Unrestricted Advice
Yingkai Li, Jonathan Libgober
How should forecasters be incentivized to acquire the most information when learning takes place over time? We address this question in the context of a novel dynamic mechanism des…